IEEE

Exploring Tree-Based Machine Learning for Multi-Illness Prediction

Abstract: Rapid advancements in machine learning techniques have opened new avenues for innovative healthcare strategies, particularly in disease prediction. The healthcare sector confronts escalating ...
Frontiers

Identification and validation of biomarkers in gastric cancer-associated membranous nephropathy: Insights from comprehensive bioinformatics analysis and machine learning

1 Department of Nephrology, China-Japan Friendship Hospital, Beijing, China 2 Department of Nephrology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China Background: ...
Frontiers

Integrating bioinformatics and machine learning analyses to identify immune-related secretory proteins and therapeutic small-molecule drugs in calcific aortic valve disease ...

Introduction: Type 2 diabetes mellitus (T2DM) is a globally prevalent metabolic disease, and emerging studies have revealed its strong association with calcific aortic valve disease (CAVD). Chronic ...
ascopubs.org

Development and validation of a deep learning clinical decision support system to optimize inpatient mortality and palliative care referrals in cancer patients.

The wasting shadow: Underweight/cachexia as a consistent predictor of adverse inpatient outcomes and escalated resource use across common solid tumors.
IEEE

From Trees to Transformers: Advancement in Bengali Sentiment Classification on BANEMO with mBERT and Deep Learning

Abstract: In this study, we present BANEmo, a novel Bangla language dataset designed specifically for sentiment analysis tasks which is derived from a diverse range of Bangla text/comments, harvested ...